Literature DB >> 29900196

The role of gender on academic performance in STEM-related disciplines: Data from a tertiary institution.

Temitope M John1,2, Joke A Badejo1,2, Segun I Popoola1,2, David O Omole3,2, Jonathan A Odukoya4,2, Priscilla O Ajayi5,2, Mary Aboyade5,2, Aderemi A Atayero1,2.   

Abstract

This data article presents data of academic performances of undergraduate students in Science, Technology, Engineering and Mathematics (STEM) disciplines in Covenant University, Nigeria. The data shows academic performances of Male and Female students who graduated from 2010 to 2014. The total population of samples in the observation is 3046 undergraduates mined from Biochemistry (BCH), Building technology (BLD), Computer Engineering (CEN), Chemical Engineering (CHE), Industrial Chemistry (CHM), Computer Science (CIS), Civil Engineering (CVE), Electrical and Electronics Engineering (EEE), Information and Communication Engineering (ICE), Mathematics (MAT), Microbiology (MCB), Mechanical Engineering (MCE), Management and Information System (MIS), Petroleum Engineering (PET), Industrial Physics-Electronics and IT Applications (PHYE), Industrial Physics-Applied Geophysics (PHYG) and Industrial Physics-Renewable Energy (PHYR). The detailed dataset is made available in form of a Microsoft Excel spreadsheet in the supplementary material of this article.

Entities:  

Keywords:  Education data mining; Gender roles; Learning analytics; Nigerian university; STEM; STEM education; STEM students; Smart campus; Undergraduates

Year:  2018        PMID: 29900196      PMCID: PMC5996299          DOI: 10.1016/j.dib.2018.03.052

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specifications Table Value of the data The empirical data provided will insights to academic performances of male and female students in STEM programs. Provides corroborative data to the underrepresentation of males in the social sciences and the underrepresentation of female students in the physical sciences [1], [2]. Data provided could provide answers to STEM disciplines favored by male and female students [3]. To encourage evidence research in student educational mining especially with regards to gender roles in developing countries and smart campuses [4], [5].

Data

Gender is perceived to affect students’ academic performance at different levels of academic pursuit. In [2], a study was conducted which concluded that Teachers and Students attributed Masculine characteristics to the Science professional and Feminine Characteristics to the humanities. They also believe that Male students’ outperformed female students in STEM related disciplines [6], [7], [8]. The population sample in this data consists of undergraduate students who graduated from STEM majors between 2010 and 2014 in Covenant University, Ota, Nigeria. The data was retrieved from the department of students’ record. A total of 3046 undergraduate were sampled from Biochemistry (BCH), Building technology (BLD), Computer Engineering (CEN), Chemical Engineering (CHE), Industrial Chemistry (CHM), Computer Science (CIS), Civil Engineering (CVE), Electrical and Electronics Engineering (EEE), Information and Communication Engineering (ICE), Mathematics (MAT), Microbiology (MCB), Mechanical Engineering (MCE), Management and Information System (MIS), Petroleum Engineering (PET),Industrial Physics-Electronics and IT Applications (PHYE), Industrial Physics-Applied Geophysics (PHYG) and Industrial Physics-Renewable Energy (PHYR). The descriptive statistics for male and female students in STEM programs showing mean, median, mode, standard deviation, variance, maximum, minimum, range and total number of samples is given in Table 1, Table 2, Table 3, Table 4, Table 5, Table 6. The data shows Secondary School Grade Point Average (SGPA), Cumulative Grade Point Average at the end of the first year (CGPA100), Cumulative Grade Point Average at the end of the second year (CGPA200), Cumulative Grade Point Average at the end of the third year (CGPA300), Cumulative Grade Point Average at the end of the fourth year (CGPA400) and Overall Cumulative Grade Point Average (Overall CGPA).
Table 1

Descriptive statistics of SGPA of female and male students from 2010–2014.

Program codeGenderMeanMedianModeStandard deviationVarianceMaximumMinimumRangeTotal N
BCHFemale3.193.133.130.580.334.451.762.69113
Male2.942.953.130.430.193.832.081.7535























BLDFemale2.892.943.040.630.404.311.742.5730
Male2.762.712.500.510.264.451.472.9867























CENFemale3.323.352.500.630.404.771.673.1072
Male3.223.212.730.510.264.582.142.44165























CHEFemale3.313.342.860.640.414.511.772.7478
Male3.353.283.130.600.364.882.102.78135























CHMFemale2.932.892.500.540.294.301.742.5662
Male2.912.893.130.540.294.061.952.1149























CISFemale3.083.053.750.610.374.531.762.77120
Male3.033.012.810.590.354.931.773.16222























CVEFemale3.072.972.970.590.354.381.882.5024
Male2.962.923.050.570.334.441.722.72143























EEEFemale3.503.673.750.640.414.882.192.6981
Male3.363.303.130.620.384.771.962.81337























ICEFemale3.263.333.130.550.304.382.052.3395
Male3.063.052.500.590.354.381.742.64150























MATFemale2.742.582.500.600.354.131.882.2527
Male2.832.622.500.670.454.382.032.3534























MCBFemale3.042.973.130.550.314.301.652.65130
Male3.103.052.920.560.314.302.052.2534























MCEFemale3.673.964.380.810.664.532.002.5316
Male3.283.303.130.570.324.641.882.76168























MISFemale2.892.862.500.580.334.301.652.65151
Male2.732.712.500.550.303.981.462.52156























PETFemale3.313.363.130.620.394.531.952.5870
Male3.193.132.990.580.344.451.992.46137























PHYEFemale3.003.192.140.570.334.142.142.0013
Male2.832.772.990.500.253.911.832.0869























PHYGFemale3.083.202.420.440.203.522.421.107
Male3.032.982.890.680.464.381.672.7130























PHYRFemale2.993.062.190.690.483.662.191.474
Male2.982.841.670.830.684.511.672.8422
Table 2

Descriptive statistics of CGPA 100 for female and male students from 2010–2014.

Program codeGenderMeanMedianModeStandard deviationVarianceMaximumMinimumRangeTotal N
BCHFemale3.583.623.850.630.405.001.733.27113
Male3.263.303.300.540.294.431.782.6535























BLDFemale3.163.223.200.590.354.432.022.4130
Male3.003.002.610.520.274.371.982.3967























CENFemale4.004.023.570.490.244.933.021.9172
Male3.713.783.980.610.384.841.922.92165























CHEFemale4.004.164.430.680.464.892.332.5678
Male3.964.063.790.590.354.911.952.96135























CHMFemale3.153.131.820.720.524.601.593.0162
Male3.443.502.630.640.414.732.172.5649























CISFemale3.653.633.380.630.404.961.933.03120
Male3.563.533.510.630.404.911.833.08222























CVEFemale3.753.763.510.550.314.802.252.5524
Male3.603.584.020.630.394.961.603.36143























EEEFemale4.154.224.110.580.334.931.713.2281
Male4.014.114.130.540.294.942.242.70337























ICEFemale3.733.803.870.580.344.962.322.6495
Male3.733.733.510.570.334.802.302.50150























MATFemale3.653.653.520.690.484.671.722.9527
Male3.142.992.700.570.324.232.002.2334























MCBFemale3.363.452.590.640.414.701.653.05130
Male3.323.263.150.570.334.372.262.1134























MCEFemale4.224.263.930.470.224.873.181.6916
Male3.893.974.290.590.354.872.202.67168























MISFemale3.193.242.680.650.424.521.572.95151
Male2.973.002.230.580.334.301.642.66156























PETFemale3.923.893.780.580.344.932.552.3870
Male3.803.854.220.640.414.891.643.25137























PHYEFemale3.423.633.630.730.534.311.982.3313
Male3.453.533.530.570.324.401.802.6069























PHYGFemale3.843.783.270.430.184.393.271.127
Male3.363.343.760.560.324.292.351.9430























PHYRFemale3.473.672.530.650.434.002.531.474
Male3.533.483.270.530.284.362.801.5622
Table 3

Descriptive statistics of CGPA 200 for female and male students from 2010–2014.

Program codeGenderMeanMedianModeStandard deviationVarianceMaximumMinimumRangeTotal N
BCHFemale3.583.614.060.760.584.981.843.14113
Male3.082.982.850.620.394.301.942.3635























BLDFemale3.373.432.890.670.444.622.182.4430
Male2.933.001.880.770.594.471.233.2467























CENFemale3.583.563.920.600.364.902.172.7372
Male3.183.183.200.740.544.861.443.42165























CHEFemale3.583.713.710.750.564.741.543.2078
Male3.443.433.370.720.524.881.873.01135























CHMFemale3.403.472.030.790.634.761.573.1962
Male3.413.543.020.760.584.831.763.0749























CISFemale3.733.773.140.740.555.001.983.02120
Male3.193.232.220.840.704.981.423.56222























CVEFemale3.363.342.960.580.344.331.702.6324
Male3.002.932.360.740.544.921.613.31143























EEEFemale3.793.784.000.670.454.921.883.0481
Male3.433.444.100.760.574.901.343.56337























ICEFemale3.313.293.290.750.564.881.533.3595
Male3.213.203.060.710.514.901.533.37150























MATFemale3.883.874.130.650.434.892.422.4727
Male2.762.782.760.800.644.231.213.0234























MCBFemale3.213.293.940.790.624.711.722.99130
Male2.992.902.550.860.744.651.722.9334























MCEFemale3.903.963.920.620.384.712.362.3516
Male3.313.292.700.730.534.871.553.32168























MISFemale3.603.634.070.780.614.881.263.62151
Male2.892.902.640.770.604.691.173.52156























PETFemale3.383.533.330.750.574.711.693.0270
Male3.193.133.040.680.464.961.633.33137























PHYEFemale3.653.843.840.840.714.591.802.7913
Male3.203.242.770.760.574.531.303.2369























PHYGFemale3.894.232.310.870.754.702.312.397
Male3.032.962.220.810.654.451.413.0430























PHYRFemale3.513.582.610.730.534.272.611.664
Male3.403.343.250.800.644.701.772.9322
Table 4

Descriptive statistics of CGPA 300 for female and male students from 2010–2014.

Program codeGenderMeanMedianModeStandard deviationVarianceMaximumMinimumRangeTotal N
BCHFemale3.613.683.940.740.555.001.973.03113
Male3.163.282.130.760.584.941.493.4535























BLDFemale3.763.793.910.610.374.912.542.3730
Male3.203.252.190.820.684.821.413.4167























CENFemale3.823.943.660.730.534.871.423.4572
Male3.223.403.830.980.974.840.634.21165























CHEFemale3.653.873.870.820.674.851.473.3878
Male3.353.433.130.820.684.941.273.67135























CHMFemale3.823.974.130.680.474.772.102.6762
Male3.863.873.550.480.234.872.812.0649























CISFemale3.713.823.900.810.655.001.343.66120
Male3.293.353.480.890.794.930.973.96222























CVEFemale3.753.923.860.630.394.672.512.1624
Male3.133.192.760.930.874.930.993.94143























EEEFemale3.914.094.190.770.594.981.103.8881
Male3.473.603.960.870.764.891.053.84337























ICEFemale3.573.624.600.890.804.811.093.7295
Male3.153.263.020.920.854.981.233.75150























MATFemale3.934.033.970.640.414.862.452.4127
Male3.012.972.290.760.574.481.732.7534























MCBFemale3.814.024.620.800.644.861.643.22130
Male3.613.572.520.830.684.931.773.1634























MCEFemale3.813.944.110.660.444.521.742.7816
Male3.063.003.130.860.744.981.313.67168























MISFemale3.563.743.780.800.644.930.874.06151
Male3.043.073.070.800.654.740.833.91156























PETFemale3.473.512.980.710.514.722.102.6270
Male3.173.263.170.770.594.831.183.65137























PHYEFemale3.984.242.940.750.574.862.582.2813
Male3.383.383.830.570.324.661.762.9069























PHYGFemale4.084.292.970.610.374.652.971.687
Male3.133.102.940.540.294.162.082.0830























PHYRFemale3.713.683.420.270.074.063.420.644
Male3.433.374.260.560.314.452.452.0022
Table 5

Descriptive statistics of CGPA 400 for female and male students from 2010–2014.

Program codeGenderMeanMedianModeStandard deviationVarianceMaximumMinimumRangeTotal N
BCHFemale3.803.934.510.770.605.001.743.26113
Male3.343.282.350.660.444.732.222.5135























BLDFemale3.773.914.310.660.444.772.062.7130
Male3.183.152.670.760.574.651.393.2667























CENFemale3.984.094.380.690.484.901.823.0872
Male3.463.663.790.820.674.90.604.30165























CHEFemale3.864.063.530.780.614.911.972.9478
Male3.653.784.060.900.804.971.003.97135























CHMFemale3.843.954.090.740.544.861.573.2962
Male3.823.873.570.550.304.932.572.3649























CISFemale3.753.794.400.730.545.001.423.58120
Male3.263.333.930.790.624.881.543.34222























CVEFemale4.194.224.170.550.304.932.971.9624
Male3.603.704.170.810.654.971.553.42143























EEEFemale3.753.793.100.690.484.771.403.3781
Male3.383.443.480.770.595.001.263.74337























ICEFemale3.743.763.760.690.474.931.673.2695
Male3.333.483.520.800.644.901.063.84150























MATFemale3.963.933.500.620.394.862.672.1927
Male2.953.042.290.720.524.261.842.4234























MCBFemale3.844.034.230.760.584.951.873.08130
Male3.653.701.580.850.734.961.583.3834























MCEFemale3.974.024.000.450.204.553.071.4816
Male3.523.654.550.790.634.971.253.72168























MISFemale3.633.713.890.740.554.871.583.29151
Male3.012.992.930.780.614.521.343.18156























PETFemale3.673.663.540.690.475.002.232.7770
Male3.403.413.610.750.564.890.004.89137























PHYEFemale4.054.482.370.950.894.912.372.5413
Male3.403.444.000.740.554.671.752.9269























PHYGFemale4.094.284.630.660.444.632.731.907
Male3.043.053.420.780.614.441.632.8130























PHYRFemale3.743.612.900.840.704.862.901.964
Male3.483.524.030.700.504.601.822.7822
Table 6

Descriptive statistics of overall CGPA for female and male students from 2010–2014.

ProgramGenderMeanMedianModeStandard deviationVarianceMaximumMinimumRangeTotal N
BCHFemale3.643.723.260.680.464.991.913.08113
Male3.223.172.630.530.284.332.212.1235























BLDFemale3.653.644.060.540.294.672.512.1630
Male3.193.111.810.650.424.561.812.7567























CENFemale3.863.833.490.540.304.782.162.6272
Male3.373.483.210.710.514.671.842.83165























CHEFemale3.803.993.610.660.444.862.042.8278
Male3.593.673.430.670.454.831.942.89135























CHMFemale3.523.563.360.670.454.661.792.8762
Male3.613.663.010.570.324.832.522.3149























CISFemale3.713.773.270.670.454.991.873.12120
Male3.343.372.550.710.514.841.902.94222























CVEFemale3.853.903.970.480.234.682.811.8724
Male3.403.423.760.700.494.931.972.96143























EEEFemale3.944.013.410.610.384.871.733.1481
Male3.573.633.280.680.464.851.743.11337























ICEFemale3.663.663.770.670.454.891.803.0995
Male3.403.462.960.680.474.761.852.91150























MATFemale3.904.033.430.620.384.802.412.3927
Male2.972.962.900.630.394.271.912.3634























MCBFemale3.523.693.980.690.484.701.792.91130
Male3.353.282.920.720.524.632.072.5634























MCEFemale4.034.052.650.470.224.652.652.0016
Male3.493.533.950.660.444.881.992.89168























MISFemale3.503.564.110.670.454.711.722.99151
Male2.993.022.450.640.414.511.522.99156























PETFemale3.673.673.220.620.394.802.422.3870
Male3.443.433.830.590.354.852.072.78137























PHYEFemale3.764.014.010.790.624.502.312.1913
Male3.353.413.550.610.374.381.802.5869























PHYGFemale3.954.182.780.630.394.562.781.787
Male3.143.183.620.640.414.271.882.3930























PHYRFemale3.583.483.090.580.334.283.091.194
Male3.453.433.530.630.394.462.132.3322
Descriptive statistics of SGPA of female and male students from 2010–2014. Descriptive statistics of CGPA 100 for female and male students from 2010–2014. Descriptive statistics of CGPA 200 for female and male students from 2010–2014. Descriptive statistics of CGPA 300 for female and male students from 2010–2014. Descriptive statistics of CGPA 400 for female and male students from 2010–2014. Descriptive statistics of overall CGPA for female and male students from 2010–2014.

Experimental design, materials, and methods

Data of male and female undergraduate students was retrieved from the Students department of records and the Center for systems and information services at Covenant University. The data signposts the cumulative grade point average at the end of the secondary education (SGPA) and cumulative grade point averages from the first to the fourth year of study (CGPA 100–CGPA 400) and the overall cumulative grade point average (CGPA). The boxplots of SGPA, CGPA 100, CGPA 200, CGPA 300, CGPA 400 and CGPA of Female STEM students is given in Fig. 1, Fig. 3, Fig. 5, Fig. 7, Fig. 9, Fig. 11 while the boxplots SGPA, CGPA 100, CGPA 200, CGPA 300, CGPA 400 and CGPA of Male STEM students is given in Fig. 2, Fig. 4, Fig. 6, Fig. 8, Fig. 10, Fig. 12.
Fig. 1

Boxplot of SGPA data for Female STEM students (2010–2014).

Fig. 3

Boxplot of CGPA100 data for Female STEM students (2010–2014).

Fig. 5

Boxplot of CGPA200 data for Female STEM students (2010–2014).

Fig. 7

Boxplot of CGPA300 data for Female STEM students (2010–2014).

Fig. 9

Boxplot of CGPA400 data for Female STEM students (2010–2014).

Fig. 11

Boxplot of Overall CGPA data for Female STEM students (2010–2014).

Fig. 2

Boxplot of SGPA data for Male STEM students (2010–2014).

Fig. 4

Boxplot of CGPA100 data for Male STEM students (2010–2014).

Fig. 6

Boxplot of CGPA200 data for Male STEM students (2010–2014).

Fig. 8

Boxplot of CGPA300 data for Male STEM students (2010–2014).

Fig. 10

Boxplot of CGPA400 data for Male STEM students (2010–2014).

Fig. 12

Boxplot of Overall CGPA data for Male STEM students (2010–2014).

Boxplot of SGPA data for Female STEM students (2010–2014). Boxplot of SGPA data for Male STEM students (2010–2014). Boxplot of CGPA100 data for Female STEM students (2010–2014). Boxplot of CGPA100 data for Male STEM students (2010–2014). Boxplot of CGPA200 data for Female STEM students (2010–2014). Boxplot of CGPA200 data for Male STEM students (2010–2014). Boxplot of CGPA300 data for Female STEM students (2010–2014). Boxplot of CGPA300 data for Male STEM students (2010–2014). Boxplot of CGPA400 data for Female STEM students (2010–2014). Boxplot of CGPA400 data for Male STEM students (2010–2014). Boxplot of Overall CGPA data for Female STEM students (2010–2014). Boxplot of Overall CGPA data for Male STEM students (2010–2014).
Subject areaEngineering Education
More specific subject areaLearning Analytics
Type of dataTable, figures, excel file, and graphs
How data was acquiredThe paper presents a five-year study period of STEM programs, Gender, Secondary School Grade Point Average (SGPA), Overall Cumulative Grade Point Average (CGPA), Cumulative Grade Point Average at the end of first year (CGPA 100), Cumulative Grade Point Average at the end of second year (CGPA 200), Cumulative Grade Point Average at the end of third year (CGPA 300), Cumulative Grade Point Average at the end of fourth year (CGPA 400)
Data formatRaw, analyzed
Experimental factorsOnly undergraduates with complete records were included in this study
Experimental featuresThe paper includes descriptive statistics and box-plots for the 17 programs under the observation
Data source locationThe data was gathered from the department of students records at Covenant University, Ota, Nigeria (Latitude 6.67181°N, Longitude 3.1581° E)
Data accessibilityData is within this article in the supplementary materials section
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